scholarly journals User-to-User Recommendation using the Concept of Movement Patterns: A Study using a Dating Social Network

2017 ◽  
Author(s):  
Mohammed Al-Zeyadi ◽  
Frans Coenen ◽  
Alexei Lisitsa
Keyword(s):  
Social Network ◽  
Movement Patterns ◽  
User Recommendation

Spatial movement patterns among intra-destinations using social network analysis

2018 ◽  
Vol 23 (8) ◽  
pp. 806-822 ◽  
Author(s):  
Hagchin Han ◽  
Seongseop (Sam) Kim ◽  
Felix Elvis Otoo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Movement Patterns ◽  
Spatial Movement

Social Network User Recommendation Method Based on Dynamic Influence

2018 ◽  
pp. 455-466 ◽  
Author(s):  
Xiaoquan Xiong ◽  
Mingxin Zhang ◽  
Jinlon Zheng ◽  
Yongjun Liu
Keyword(s):  
Social Network ◽  
User Recommendation

scholarly journals A Social Network Analysis of Tourist Movement Patterns in Blogs: Korean Backpackers in Europe

2017 ◽  
Vol 9 (12) ◽  
pp. 2251 ◽  
Author(s):  
Hee Chung ◽  
Namho Chung ◽  
Yoonjae Nam
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Movement Patterns

scholarly journals A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis

2020 ◽  
Vol 10 (19) ◽  
pp. 6746
Author(s):  
Guillem Aguado ◽  
Vicente Julián ◽  
Ana García-Fornes ◽  
Agustín Espinosa
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Network Sites ◽  
User Interaction ◽  
Risk Prevention ◽  
Multi Agent System ◽  
Multi Agent ◽  
User Recommendation

In the current world we live immersed in online applications, being one of the most present of them Social Network Sites (SNSs), and different issues arise from this interaction. Therefore, there is a need for research that addresses the potential issues born from the increasing user interaction when navigating. For this reason, in this survey we explore works in the line of prevention of risks that can arise from social interaction in online environments, focusing on works using Multi-Agent System (MAS) technologies. For being able to assess what techniques are available for prevention, works in the detection of sentiment polarity and stress levels of users in SNSs will be reviewed. We review with special attention works using MAS technologies for user recommendation and guiding. Through the analysis of previous approaches on detection of the user state and risk prevention in SNSs we elaborate potential future lines of work that might lead to future applications where users can navigate and interact between each other in a more safe way.

A Social Network Analysis of Overseas Tourist Movement Patterns in Beijing: the Impact of the Olympic Games

2011 ◽  
Vol 14 (5) ◽  
pp. 469-484 ◽  
Author(s):  
Xi Yu Leung ◽  
Fang Wang ◽  
Bihu Wu ◽  
Billy Bai ◽  
Kurt A. Stahura ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Olympic Games ◽  
Movement Patterns ◽  
The Impact ◽  
The Olympic Games

Social network analysis used to assess the relationship between the spread of avian influenza and movement patterns of backyard chickens in Ratchaburi, Thailand

2013 ◽  
Vol 95 (1) ◽  
pp. 82-86 ◽  
Author(s):  
Chaithep Poolkhet ◽  
Pornsri Chairatanayuth ◽  
Sukanya Thongratsakul ◽  
Suwicha Kasemsuwan ◽  
Theera Rukkwamsuk
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Avian Influenza ◽  
Movement Patterns ◽  
Backyard Chickens ◽  
The Relationship
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